Generating GNN Embeddings. Taking as input the encoded network relationships, GNN embeddings use different sampling techniques to represent every node as a vector. To extract these vectors, we experiment with different graph neural network models, namely struct2vec [1]}, deepwalk [2]} and node2vec [3]}.
